ph3About NDT Global /h3 pNDT Global is the leading provider of inline diagnostic solutions, advanced data insights, subsea inspection, and integrity management services that safeguard energy‑sector infrastructure. The company is recognized for its expertise in ultrasonic inspection technologies—such as Pulse Echo, Pitch‑and‑Catch, Phased Array, and Acoustic Resonance (ART Scan)—and ultra‑high‑resolution Magnetic Flux Leakage (MFL) inspection services. These differentiated offerings, along with non‑ultrasonic technologies like Inertial Measurement Units and others in development, enable NDT Global to deliver comprehensive asset integrity solutions. Innovation is at the core of NDT Global’s mission. We continuously challenge the boundaries of existing technologies to deliver transformational solutions that empower the industry to achieve safer, more cost‑effective pipeline management. Our commitment to research and development drives the creation of vital new methods and tools that address the evolving needs of our customers while setting new industry standards. By strategically applying inspection technologies to detect, diagnose, and model various types of threats, NDT Global provides predictive, decision‑ready insights. These insights, driven by the world’s most accurate data, enable asset owners to optimize infrastructure health, drive operational efficiencies, reduce risk, and minimize their carbon footprint. /p h3Purpose /h3 pThe goal of the Machine Learning Engineer is to introduce new solutions based on machine learning, especially deep learning, to improve accuracy and efficiency of data analysis from data preparation,



model training and testing to deployment in a productive environment. /p h3Tasks /h3 ul liApplies supervised techniques, mostly deep learning techniques, for solving pattern recognition problems in ultrasound data (images, signals) /li liAI model training and research /li liTake ownership of end‑to‑end projects from proposing technical solutions, model development, technical project management, results communication to stakeholders, until handover the solution to the production team /li liMentoring and support our Machine Learning junior members /li liUnderstands and interprets data to come up with optimal feature sets or images /li liPrepares datasets to train and validate models /li liEnsures quality of the developed prototypes by following good software practices and code reviews /li liWrites documentation of developed solutions and ensures knowledge transfer /li /ul h3Requirements /h3 ul liBachelor’s or master’s degree in computer science or a related field (PhD preferred) /li liRelevant work experience more than 5 years, in deep learning (preferred image related)Experience working on end‑to‑end ML projects, from data collection to production‑level deployment /li liExperience with image recognition, object detection, and other computer vision tasks.



/li liMust be proficient in spoken and written English /li liProficiency in ul liPython /li liPyTorch/TensorFlow/Jax /li liExperiment tracking (ex: WB, MLFLow or similar) /li /ul /li liNice to have ul liBe able to read SQL databases /li li2 years of experience with classical ML /li liExperience with big data tools like Apache Spark for data manipulation is a plus. /li liCloud experience like: Azure ML, AWS sagemaker or Vertex AI /li /ul /li /ul h3Skillset /h3 ul liAnalytical mindset – Ability to break down complex problems and approach them with structured thinking /li liCuriosity innovation – Passion for exploring new technologies and pushing boundaries in machine learning /li liCollaboration – Comfortable working in cross‑functional, international teams and sharing knowledge openly /li liClear communication – Able to explain technical concepts to both technical and non‑technical stakeholders /li liAdaptability – Willingness to learn, iterate, and adapt to evolving tools, data, and business needs /li liDetail‑oriented – Strong focus on accuracy, quality, and reliability in both code and results /li liTime management – Capable of managing multiple tasks and priorities in a flexible work environment /li liCultural awareness – Appreciation for diverse perspectives in a general team setting /li liSelf‑driven learning – Proactive in staying up to date with the latest trends in ML and AI /li /ul h3Benefits /h3 ul liGreat long‑term career prospects and development opportunities /li liChallenging tasks in innovative and diverse teams /li liAttractive compensation system /li liFlexible working environment /li /ul /p #J-18808-Ljbffr

📌 Senior Machine Learning Engineer (Barcelona)
🏢 Ndt Global
📍 Barcelona